Introduction

This is my introduction page, for now containing the summary of the compmus dataset

   filename         approachability       arousal       danceability    
 Length:90          Min.   :-0.04635   Min.   :3.113   Min.   :0.04688  
 Class :character   1st Qu.: 0.32716   1st Qu.:4.221   1st Qu.:0.24611  
 Mode  :character   Median : 0.49057   Median :4.876   Median :0.57643  
                    Mean   : 0.48547   Mean   :4.845   Mean   :0.55829  
                    3rd Qu.: 0.65034   3rd Qu.:5.476   3rd Qu.:0.88237  
                    Max.   : 0.95809   Max.   :7.022   Max.   :1.00000  
  engagingness    instrumentalness     tempo           valence     
 Min.   :0.1041   Min.   :0.1310   Min.   : 30.00   Min.   :3.429  
 1st Qu.:0.5238   1st Qu.:0.4775   1st Qu.: 84.00   1st Qu.:4.671  
 Median :0.6452   Median :0.6166   Median : 97.50   Median :5.191  
 Mean   :0.6750   Mean   :0.6091   Mean   : 99.61   Mean   :5.092  
 3rd Qu.:0.8807   3rd Qu.:0.7762   3rd Qu.:117.00   3rd Qu.:5.480  
 Max.   :1.0301   Max.   :0.9554   Max.   :176.00   Max.   :6.402  

My two songs are “make your transition” by Omaks, and “Rampage (VIP Mix)” by Bollman. I acquired them via soundcloud, as they were labeled as free downloads. These two songs are among my favourite to dance to on a rave/festival, or even in my own time. The reason I chose to download existing songs from soundcloud is because I think these DJ’s make enough money already. Another reason is that when I tried creating songs with AI, no good techno came from it, which is what I wanted.

Visualisation

My first visualization, for now only the ‘bad’ plot with the compmus dataset

Here the arousal is plotted against the tempo. Not much is visible in this plot.

Conclusion

Here I will conclude my research on the chosen music, for now